Partial Dependence Plots
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Documentation for package ‘pdp’ version 0.8.1
Help Pages
| autoplot.cice | Plotting Partial Dependence Functions |
| autoplot.ice | Plotting Partial Dependence Functions |
| autoplot.partial | Plotting Partial Dependence Functions |
| boston | Boston Housing Data |
| exemplar | Exemplar observation |
| exemplar.data.frame | Exemplar observation |
| exemplar.dgCMatrix | Exemplar observation |
| exemplar.matrix | Exemplar observation |
| partial | Partial Dependence Functions |
| partial.default | Partial Dependence Functions |
| partial.model_fit | Partial Dependence Functions |
| pdp | pdp: A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R. |
| pima | Pima Indians Diabetes Data |
| plotPartial | Plotting Partial Dependence Functions |
| plotPartial.cice | Plotting Partial Dependence Functions |
| plotPartial.ice | Plotting Partial Dependence Functions |
| plotPartial.partial | Plotting Partial Dependence Functions |
| topPredictors | Extract Most "Important" Predictors (Experimental) |
| topPredictors.default | Extract Most "Important" Predictors (Experimental) |
| topPredictors.train | Extract Most "Important" Predictors (Experimental) |